Product Manager, Data Enrichment

Hive's enrichment products bring Hive intelligence to wherever customers and partners work. This spans:

• Geographic scores and segments, from hyperlocal to national
• Audience and segment enrichment
• Enhancement of customers' data
• Model-based attributes
• Datasets licensed through marketplaces and clean rooms
• Outputs ready for use in media and marketing platforms

You’ll be responsible for strategy through delivery, leading a squad building & delivering product to some of the biggest brands, agencies and software partners in the world.

• Own the product strategy, roadmap and priorities for Hive's enrichment products and external data ecosystem.
• Lead ongoing efforts to scale Hive intelligence that can be joined, enriched, licensed, delivered and activated across partner and customer environments.
• Develop deep knowledge of the competitive ecosystem, including data providers, data marketplaces, clean rooms, audience platforms, geodemographic and segmentation providers, research platforms and activation environments.
• Translate customer, partner and commercial opportunities into clear product requirements, technical priorities and sequencing decisions for the squad.
• Maintain a rigorous view of the difference between a one-off customer integration and a capability worth building into the platform.
• Drive the squad toward reusable capabilities that make each new dataset, partner and activation environment faster and cheaper to support.
• Balance short-term revenue opportunities with the foundational architecture a durable enrichment business requires.
• Define success metrics spanning coverage, statistical quality, latency, implementation time, reliability, usability, adoption and commercial value.
• Work deeply enough with the science to understand differences in model validity, coverage and uncertainty across products and grains, and deeply enough with engineering to understand architectural tradeoffs.
• Make smart product decisions when scientific quality, engineering complexity, customer requirements and speed to market are in tension.
• Write clear product requirements and acceptance criteria while giving engineers and scientists room to determine the best technical solution.
• Own and continuously prioritize the squad backlog around business outcomes rather than output volume.
• Identify opportunities to extend Hive intelligence through new data partners, marketplaces, platforms, customer datasets and activation environments.
• Work closely with commercial and partnership teams to understand what stops a customer from saying yes, whether the barrier is coverage, integration, methodology, delivery mechanism, procurement or packaging.
• Track where the data market is moving, including privacy-safe data collaboration, clean rooms, AI-enabled enrichment, synthetic and model-based attributes, first-party data enhancement and interoperable data products.
• Keep engineering, science, commercial and leadership aligned on what we're building, why it matters and what winning looks like.

• Product leadership experience in similar scaled data enrichment & marketplace product delivery.
• Experience owning technically sophisticated data, analytics, audience, research or AI products.
• Strong understanding of data as a product, including coverage, quality, methodology, integrations, delivery and commercial packaging, not just user-interface functionality.
• Excellent product judgment and a demonstrated ability to prioritize across competing technical and commercial demands.
• Enough technical fluency to work credibly with senior data engineers, and enough quantitative fluency to work credibly with advanced modeling scientists.
• Familiarity with the consumer-data, marketing-data, geodemographic, audience-measurement or market-research ecosystem is highly desirable.
• Strong market orientation: you naturally look outward at competitors, partners, customers and emerging technologies, rather than treating the roadmap as an internally generated backlog.
• Comfort operating in a startup where the product owner creates clarity, makes choices and drives outcomes, rather than simply administering an Agile process.

• Location:
  
  Hybrid, 3 days a week in our London or Durham office. You must live within commuting distance.
• Employment type:
  
  Full-time.
• Work authorization:
  You must have an existing right to work in the UK or US, depending on the location you apply for. We're not able to offer visa sponsorship for this role.